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Architecture for efficient monitoring and management of sensor networks

  • Mohamed Younis*
  • , Poonam Munshi
  • , Ehab Al-Shaer
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

10 Scopus citations

Abstract

Wireless sensor networks are poised to increase the efficiency of many military and civil applications, such as disaster management. Typically sensors collect data about their surrounding and forward that data to a command center, either directly or through a base-station. Due to inhospitable conditions, these sensors are not always deployed uniformly in an area of interest and some sensors can be unreachable because they are too distant from the base-station or simply because there exist obstacles in their path. This paper focuses on reducing the sensitivity of the operation and monitoring of sensor networks to the ambiguity of the propagation model of the radio signal. We define 'agent' sensors, which monitor the health and relay messages to and from unreachable sensors. We form groups of sensors around these agents while considering the load on each agent. An energy-aware routing of data collected by and relayed by these agents is performed. Our approach localizes communication which reduces the amount of sensor energy expended in transmission, enables efficient monitoring of sensor resources and health status and allows optimal management of deployed sensors for increased network lifetime. The approach is validated by the simulation results.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsAlan Marshall, Nazim Agoulmine
PublisherSpringer Verlag
Pages488-502
Number of pages15
ISBN (Electronic)3540200509, 9783540200505
DOIs
StatePublished - 2003
Externally publishedYes

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2839
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Keywords

  • Energy efficient design
  • Energy-aware communication
  • Network monitoring
  • Sensor networks

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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